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相关概念视频

Entropy02:39

Entropy

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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Entropy01:18

Entropy

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The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
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Uniform Distribution01:19

Uniform Distribution

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The uniform distribution is a continuous probability distribution of events with an equal probability of occurrence. This distribution is rectangular.
Two essential properties of this distribution are
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Random Error01:04

Random Error

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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Estimation of the Physical Quantities01:05

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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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Entropy Change in Reversible Processes01:10

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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相关实验视频

Updated: Jan 10, 2026

Lensless Fluorescent Microscopy on a Chip
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非均受约束的L∞ 对于稀有和不规则来源的量化.

Alin-Adrian Alecu1, Mohammad Ali Tahouri2, Adrian Munteanu2

  • 1Faculty of Engineering in Foreign Languages (FILS), Universitatea Nationala de Stiinta si Tehnologie Politehnica Bucuresti, Splaiul Independentei 313, 060042 Bucharest, Romania.

Entropy (Basel, Switzerland)
|November 26, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的非均量子器设计,用于几乎无损编码,改善各种数据类型的压缩效率. 意识到的框架适应信号特征,优于现有的方法.

关键词:
在 L ∞ 量子化过程中.深度地图编码 深度地图编码几乎没有损失的压缩.不统一的标尺定量仪.稀疏的分布是稀疏的分布

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相关实验视频

Last Updated: Jan 10, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

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Quasi-light Storage for Optical Data Packets
07:45

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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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科学领域:

  • 信号处理 信号处理
  • 信息理论 信息理论
  • 计算机视觉 计算机视觉

背景情况:

  • 传统的几乎无损编码使用统一的量子化来控制错误.
  • 现有的方法通常假定参数源分布,限制了适应性.
  • 控制最大绝对误差 (L∞规范) 对于剩余信号压缩至关重要.

研究的目的:

  • 开发一种新的框架,用于非均的,对感知的,以L∞为导向的标量级定量器.
  • 创建一个不需要参数密度函数配方的设计.
  • 在几乎无损压缩中提高速率扭曲效率.

主要方法:

  • 引入了对 L ∞ 扭曲度量的紧密且可微分的近似值.
  • 开发了一个设计非均标尺量化器的框架.
  • 评估了合成和现实世界医疗深度地图视频数据的框架.

主要成果:

  • 拟议的方法汇聚到接近均的量化器,以实现平稳的衰变分布.
  • 对于稀疏或不规则的来源,产生了高度不均的容器分配,适应当地结构.
  • 由此产生的编解码器始终优于统一的量化器和最先进的方案,如JPEG-LS和CALIC.

结论:

  • 这种新的框架可以实现自适应性,非均的量子化,以改善近乎无损的压缩.
  • 与统一量子化和现有编解码器相比,这种方法提供了优越的速率扭曲性能.
  • 这种对有意识的设计推进了对各种数据源的残余信号编码.